1 citations · 1 across the 2 of their papers we have counts for
4 papers
Accelerating 3D Gaussian Splatting using Tensor Cores
Sheng Li, Yang Sui, Yue Wu +4
3D Gaussian Splatting (3DGS) has become a leading technique for real-time neural rendering and 3D scene reconstruction, but its rendering cost remains too high for many latency-sen…
Temporal Aware Pruning for Efficient Diffusion-based Video Generation
Sheng Li, Yang Sui, Junhao Ran +3
Video diffusion models have recently enabled high-quality video generation with ViT-based architectures, but remain computationally intensive because generation requires attention…
Using Reinforcement Learning to Guide Graph State Generation for Photonic Quantum Computers
Yingheng Li, Yue Dai, Aditya Pawar +4
Photonic quantum computer (PQC) is an emerging and promising quantum computing paradigm that has gained momentum in recent years. In PQC, which leverages the measurement-based quan…
Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
Tianyu Wang, Sheng Li, Bingyao Li +6
Continuous learning (CL) has emerged as one of the most popular deep learning paradigms deployed in modern cloud GPUs. Specifically, CL has the capability to continuously update th…